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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cloud-based environments, particularly with AWS, Microsoft Azure, and Google Cloud Platform, alongside strong proficiency in scripting languages like Python and Bash. Capable of supporting system reliability, performance monitoring, and infrastructure automation using tools such as Terraform and Docker.
Highest-signal resume keywords
Cloud Platform ProficiencyScripting Language ProficiencyLinux System AdministrationInfrastructure AutomationCI/CD Pipeline Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonBashLinuxTerraformDockerKubernetesAWSMicrosoft AzureGoogle Cloud PlatformCI/CD
Soft Skills
Analytical ThinkingProblem-SolvingCollaborationCommunication
Tools & Technologies
GitGitHubPrometheusGrafanaDatadogCloudWatchJenkinsGitHub ActionsGitLab CI/CDMonitoring Tools
Industry Keywords
Site Reliability EngineeringDevOpsCloud EngineeringInfrastructure as CodeIncident Management
Tech Stack
Tools & technologiesAnsibleAWSAzureCloudDNSDockerFirewallsGoogle Cloud PlatformGrafanaJenkinsKubernetesLinuxPrometheusPythonShell ScriptingTCP/IPTerraformGo
About the role
Key responsibilities & impact- Assist in monitoring the availability, performance, and reliability of applications, services, and infrastructure.
- Support the maintenance and optimization of cloud-based environments using AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Monitor system health, application performance, resource utilization, and service availability.
- Assist in identifying, troubleshooting, and resolving infrastructure, application, and production-related issues.
- Develop automation scripts using Python, Bash, or Shell scripting to reduce repetitive operational tasks.
- Work with Linux-based systems and command-line tools to manage and troubleshoot infrastructure.
- Support the implementation and maintenance of monitoring, logging, and alerting solutions.
- Collaborate with DevOps and software engineering teams to improve deployment reliability and system performance.
- Assist in managing CI/CD pipelines and supporting automated deployment workflows.
- Participate in incident investigation, root cause analysis, and documentation of technical issues.
- Support infrastructure automation using tools such as Terraform or Ansible.
- Work with containerization technologies such as Docker and Kubernetes.
- Assist in maintaining system security, access controls, backups, and operational best practices.
- Maintain technical documentation for system configurations, monitoring procedures, and incident resolution.
- Contribute to improving system scalability, fault tolerance, and operational efficiency.
Requirements
What you’ll need- Master's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related technical field.
- 0–1 year of experience in Site Reliability Engineering, DevOps, Cloud Engineering, Systems Administration, or a related technical role.
- Strong understanding of operating systems, particularly Linux, command-line tools, and basic system administration.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Basic knowledge of networking concepts, including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.
- Proficiency in at least one scripting or programming language, such as Python, Bash, or Go.
- Understanding of system monitoring, logging, alerting, and performance management concepts.
- Familiarity with Git and GitHub for version control and collaborative development.
- Basic understanding of CI/CD pipelines and automated deployment processes.
- Familiarity with Docker and containerization concepts.
- Basic knowledge of Kubernetes and container orchestration is an advantage.
- Understanding of infrastructure automation and Infrastructure as Code (IaC) concepts.
- Familiarity with monitoring tools such as Prometheus, Grafana, Datadog, or CloudWatch is a plus.
- Understanding of system reliability, scalability, availability, and fault tolerance.
- Strong troubleshooting, analytical thinking, and problem-solving abilities.
- Ability to work collaboratively, communicate technical issues clearly, and learn new technologies.
- Academic projects, internships, or personal projects involving cloud infrastructure, DevOps, system administration, or automation.
- Familiarity with Infrastructure as Code tools such as Terraform or Ansible.
- Exposure to CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
- Basic understanding of incident management, root cause analysis, and Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
- Familiarity with cloud monitoring, infrastructure observability, and performance optimization.
- Relevant cloud, Linux, or DevOps certifications are an advantage.
Benefits
Comp & perks- Opportunity to contribute to an innovative, AI-powered technology company.
- Hands-on exposure to cloud infrastructure, system reliability, and modern engineering practices.
- Opportunities to develop practical skills in automation, monitoring, and infrastructure management.
- Exposure to modern cloud platforms, DevOps tools, and observability technologies.
- Collaborative environment that encourages technical learning, innovation, and knowledge sharing.
- Opportunities for professional development and technical career growth.
- Opportunity to contribute to improving application performance, system availability, and infrastructure reliability.